Semi-automatic determination of geometrical properties of short natural fibers in biocomposites by digital image processing

Victoria Mera-Moya; Jorge I. Fajardo; Iális C. de Paula Junior; Leslie Bustamante; Luis J. Cruz; Thiago Barros

doi:10.1007/978-3-319-73450-7_37

Semi-automatic determination of geometrical properties of short natural fibers in biocomposites by digital image processing

Victoria Mera-Moya, Jorge I. Fajardo, Iális C. de Paula Junior, Leslie Bustamante, Luis J. Cruz, Thiago Barros

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

3 Citas (Scopus)

Resumen

The present article proposes a method for the estimation of geometrical properties of short natural fibers that act as reinforcing phase in polymeric composites. The extraction of the image attributes is performed based on the analysis of microscopic images taken in different sections of the material, requiring a minimal user intervention. The proposed method estimates the orientation tensor of the short fibers from geometrical characteristics such as inclination, length, width and aspect ratio, using an elliptical covering on each fiber. The method validation was performed on a polypropylene composite reinforced with 30% by weight of bamboo short fibers (guadua angustifolia species), the accuracy and precision of the proposed method proved to be adequate. The a₁₁ element of the orientation tensor was evaluated and the results agree in 98% with respect to the commercial software. This technique is a fast alternative of low cost in characterization of new materials.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the International Conference on Information Technology and Systems, ICITS 2018
Editores	Alvaro Rocha, Teresa Guarda
Editorial	Springer Verlag
Páginas	387-396
Número de páginas	10
ISBN (versión impresa)	9783319734491
DOI	https://doi.org/10.1007/978-3-319-73450-7_37
Estado	Publicada - 2018
Evento	International Conference on Information Technology and Systems, ICITS18 - Libertad city, Ecuador Duración: 11 ene. 2017 → 13 ene. 2017

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	721
ISSN (versión impresa)	2194-5357

Conferencia

Conferencia	International Conference on Information Technology and Systems, ICITS18
País/Territorio	Ecuador
Ciudad	Libertad city
Período	11/01/17 → 13/01/17

Nota bibliográfica

Publisher Copyright:
© Springer International Publishing AG 2018.

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10.1007/978-3-319-73450-7_37

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Mera-Moya, V., Fajardo, J. I., de Paula Junior, I. C., Bustamante, L., Cruz, L. J., & Barros, T. (2018). Semi-automatic determination of geometrical properties of short natural fibers in biocomposites by digital image processing. En A. Rocha, & T. Guarda (Eds.), Proceedings of the International Conference on Information Technology and Systems, ICITS 2018 (pp. 387-396). (Advances in Intelligent Systems and Computing; Vol. 721). Springer Verlag. https://doi.org/10.1007/978-3-319-73450-7_37

Mera-Moya, Victoria ; Fajardo, Jorge I. ; de Paula Junior, Iális C. et al. / Semi-automatic determination of geometrical properties of short natural fibers in biocomposites by digital image processing. Proceedings of the International Conference on Information Technology and Systems, ICITS 2018. editor / Alvaro Rocha ; Teresa Guarda. Springer Verlag, 2018. pp. 387-396 (Advances in Intelligent Systems and Computing).

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title = "Semi-automatic determination of geometrical properties of short natural fibers in biocomposites by digital image processing",

abstract = "The present article proposes a method for the estimation of geometrical properties of short natural fibers that act as reinforcing phase in polymeric composites. The extraction of the image attributes is performed based on the analysis of microscopic images taken in different sections of the material, requiring a minimal user intervention. The proposed method estimates the orientation tensor of the short fibers from geometrical characteristics such as inclination, length, width and aspect ratio, using an elliptical covering on each fiber. The method validation was performed on a polypropylene composite reinforced with 30% by weight of bamboo short fibers (guadua angustifolia species), the accuracy and precision of the proposed method proved to be adequate. The a11 element of the orientation tensor was evaluated and the results agree in 98% with respect to the commercial software. This technique is a fast alternative of low cost in characterization of new materials.",

keywords = "Biomaterials, Composite materials, Digital image processing, Orientation tensor",

author = "Victoria Mera-Moya and Fajardo, {Jorge I.} and {de Paula Junior}, {I{\'a}lis C.} and Leslie Bustamante and Cruz, {Luis J.} and Thiago Barros",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; International Conference on Information Technology and Systems, ICITS18 ; Conference date: 11-01-2017 Through 13-01-2017",

year = "2018",

doi = "10.1007/978-3-319-73450-7_37",

language = "Ingl{\'e}s",

isbn = "9783319734491",

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Mera-Moya, V, Fajardo, JI, de Paula Junior, IC, Bustamante, L, Cruz, LJ & Barros, T 2018, Semi-automatic determination of geometrical properties of short natural fibers in biocomposites by digital image processing. En A Rocha & T Guarda (eds.), Proceedings of the International Conference on Information Technology and Systems, ICITS 2018. Advances in Intelligent Systems and Computing, vol. 721, Springer Verlag, pp. 387-396, International Conference on Information Technology and Systems, ICITS18, Libertad city, Ecuador, 11/01/17. https://doi.org/10.1007/978-3-319-73450-7_37

Semi-automatic determination of geometrical properties of short natural fibers in biocomposites by digital image processing. / Mera-Moya, Victoria; Fajardo, Jorge I.; de Paula Junior, Iális C. et al.
Proceedings of the International Conference on Information Technology and Systems, ICITS 2018. ed. / Alvaro Rocha; Teresa Guarda. Springer Verlag, 2018. p. 387-396 (Advances in Intelligent Systems and Computing; Vol. 721).

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

TY - GEN

T1 - Semi-automatic determination of geometrical properties of short natural fibers in biocomposites by digital image processing

AU - Mera-Moya, Victoria

AU - Fajardo, Jorge I.

AU - de Paula Junior, Iális C.

AU - Bustamante, Leslie

AU - Cruz, Luis J.

AU - Barros, Thiago

N1 - Publisher Copyright: © Springer International Publishing AG 2018.

PY - 2018

Y1 - 2018

N2 - The present article proposes a method for the estimation of geometrical properties of short natural fibers that act as reinforcing phase in polymeric composites. The extraction of the image attributes is performed based on the analysis of microscopic images taken in different sections of the material, requiring a minimal user intervention. The proposed method estimates the orientation tensor of the short fibers from geometrical characteristics such as inclination, length, width and aspect ratio, using an elliptical covering on each fiber. The method validation was performed on a polypropylene composite reinforced with 30% by weight of bamboo short fibers (guadua angustifolia species), the accuracy and precision of the proposed method proved to be adequate. The a11 element of the orientation tensor was evaluated and the results agree in 98% with respect to the commercial software. This technique is a fast alternative of low cost in characterization of new materials.

AB - The present article proposes a method for the estimation of geometrical properties of short natural fibers that act as reinforcing phase in polymeric composites. The extraction of the image attributes is performed based on the analysis of microscopic images taken in different sections of the material, requiring a minimal user intervention. The proposed method estimates the orientation tensor of the short fibers from geometrical characteristics such as inclination, length, width and aspect ratio, using an elliptical covering on each fiber. The method validation was performed on a polypropylene composite reinforced with 30% by weight of bamboo short fibers (guadua angustifolia species), the accuracy and precision of the proposed method proved to be adequate. The a11 element of the orientation tensor was evaluated and the results agree in 98% with respect to the commercial software. This technique is a fast alternative of low cost in characterization of new materials.

KW - Biomaterials

KW - Composite materials

KW - Digital image processing

KW - Orientation tensor

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SN - 9783319734491

T3 - Advances in Intelligent Systems and Computing

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EP - 396

BT - Proceedings of the International Conference on Information Technology and Systems, ICITS 2018

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ER -

Mera-Moya V, Fajardo JI, de Paula Junior IC, Bustamante L, Cruz LJ, Barros T. Semi-automatic determination of geometrical properties of short natural fibers in biocomposites by digital image processing. En Rocha A, Guarda T, editores, Proceedings of the International Conference on Information Technology and Systems, ICITS 2018. Springer Verlag. 2018. p. 387-396. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-73450-7_37

Semi-automatic determination of geometrical properties of short natural fibers in biocomposites by digital image processing

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